ca_procrustes: Correspondence Analysis with Procrustes Fitting

In lakhesis: Consensus Seriation for Binary Data

Correspondence Analysis with Procrustes Fitting

Description

Fit scores of correspondence analysi on an incidence matrix to those produced by reference matrix which contain an ideal seriation using a Procrustes method (on the reference matrix, see im_ref). Rotation is determined by minimizing Euclidean distance from each row score to the nearest reference row score. Correspondence analysis is performed using the ca package \insertCitenenadic_correspondence_2007lakhesis.

Usage

ca_procrustes(obj, symmetric = TRUE)

## S3 method for class 'matrix'
ca_procrustes(obj, symmetric = TRUE)

## S3 method for class 'incidence_matrix'
ca_procrustes(obj, symmetric = TRUE)

Arguments

obj	An incidence matrix of size n x k.
symmetric	Whether to use standard scores for both rows and columns. Default is TRUE. Setting this to FALSE will result in a asymmetric map of standard scores for rows and principal scores for columns.

Value

A list object of class strand containing the following:

• ref The Procrustes-fit coordinates of the scores of the reference seriation.

• x The coordinates of the row standard scores of the data.

• y The coordinates of the column principal scores of the data.

• x_pr The Procrustes-fit coordinates of the row standard scores of the data.

• y_pr The Procrustes-fit coordinates of the column column scores of the data.

References

\insertAllCited

Examples

data("quattrofontanili")
s <- ca_procrustes(quattrofontanili)
# print(s)

lakhesis documentation built on April 25, 2026, 5:06 p.m.